| 2026 | AAAI | Causal Discovery from Interval-Based Event Sequences. | Lnag Cornanguer, Joscha Cppers, Jilles Vreeken |
| 2026 | AAAI | SEQRET: Mining Rule Sets from Event Sequences. | Aleena Siji, Joscha Cppers, Osman Mian, Jilles Vreeken |
| 2025 | AAAI | Federated Binary Matrix Factorization Using Proximal Optimization. | Sebastian Dalleiger, Jilles Vreeken, Michael Kamp |
| 2025 | AAAI | From Your Block to Our Block: How to Find Shared Structure Between Stochastic Block Models over Multiple Graphs. | Iiro Kumpulainen, Sebastian Dalleiger, Jilles Vreeken, Nikolaj Tatti |
| 2025 | AAAI | SPACETIME: Causal Discovery from Non-Stationary Time Series. | Sarah Mameche, Lnag Cornanguer, Urmi Ninad, Jilles Vreeken |
| 2025 | AISTATS | Information-Theoretic Causal Discovery in Topological Order. | Sascha Xu, Sarah Mameche, Jilles Vreeken |
| 2025 | KDD | Succinct Interaction-Aware Explanations. | Sascha Xu, Joscha Cppers, Jilles Vreeken |
| 2025 | SDM | Accurately Estimating Unreported Infections using Information Theory. | Jiaming Cui, Bijaya Adhikari, Arash Haddadan, A. S. M. Ahsan-Ul-Haque, Jilles Vreeken, Anil Vullikanti, B. Aditya Prakash |
| 2024 | AAAI | Discovering Sequential Patterns with Predictable Inter-event Delays. | Joscha Cppers, Paul Krieger, Jilles Vreeken |
| 2024 | AAAI | Finding Interpretable Class-Specific Patterns through Efficient Neural Search. | Nils Philipp Walter, Jonas Fischer, Jilles Vreeken |
| 2024 | AAAI | What Are the Rules? Discovering Constraints from Data. | Boris Wiegand, Dietrich Klakow, Jilles Vreeken |
| 2024 | AISTATS | Identifying Confounding from Causal Mechanism Shifts. | Sarah Mameche, Jilles Vreeken, David Kaltenpoth |
| 2024 | ICML | Learning Exceptional Subgroups by End-to-End Maximizing KL-Divergence. | Sascha Xu, Nils Philipp Walter, Janis Kalofolias, Jilles Vreeken |
| 2024 | KDD | Learning Causal Networks from Episodic Data. | Osman Mian, Sarah Mameche, Jilles Vreeken |
| 2023 | AAAI | Identifying Selection Bias from Observational Data. | David Kaltenpoth, Jilles Vreeken |
| 2023 | AAAI | Information-Theoretic Causal Discovery and Intervention Detection over Multiple Environments. | Osman Mian, Michael Kamp, Jilles Vreeken |
| 2023 | AISTATS | Nothing but Regrets - Privacy-Preserving Federated Causal Discovery. | Osman Mian, David Kaltenpoth, Michael Kamp, Jilles Vreeken |
| 2023 | EMNLP | Towards Concept-Aware Large Language Models. | Chen Shani, Jilles Vreeken, Dafna Shahaf |
| 2023 | ICLR | Federated Learning from Small Datasets. | Michael Kamp, Jonas Fischer, Jilles Vreeken |
| 2023 | ICML | Nonlinear Causal Discovery with Latent Confounders. | David Kaltenpoth, Jilles Vreeken |
| 2023 | KDD | Below the Surface: Summarizing Event Sequences with Generalized Sequential Patterns. | Joscha Cppers, Jilles Vreeken |
| 2023 | UAI | Causal Discovery with Hidden Confounders using the Algorithmic Markov Condition. | David Kaltenpoth, Jilles Vreeken |
| 2023 | SDM | Why Are We Waiting? Discovering Interpretable Models for Predicting Sojourn and Waiting Times. | Boris Wiegand, Dietrich Klakow, Jilles Vreeken |
| 2022 | AAAI | Differentially Describing Groups of Graphs. | Corinna Coupette, Sebastian Dalleiger, Jilles Vreeken |
| 2022 | AAAI | Naming the Most Anomalous Cluster in Hilbert Space for Structures with Attribute Information. | Janis Kalofolias, Jilles Vreeken |
| 2022 | AAAI | Discovering Interpretable Data-to-Sequence Generators. | Boris Wiegand, Dietrich Klakow, Jilles Vreeken |
| 2022 | ICML | Label-Descriptive Patterns and Their Application to Characterizing Classification Errors. | Michael A. Hedderich, Jonas Fischer, Dietrich Klakow, Jilles Vreeken |
| 2022 | ICML | Inferring Cause and Effect in the Presence of Heteroscedastic Noise. | Sascha Xu, Osman Mian, Alexander Marx, Jilles Vreeken |
| 2022 | KDD | Discovering Significant Patterns under Sequential False Discovery Control. | Sebastian Dalleiger, Jilles Vreeken |
| 2022 | KDD | Discovering Invariant and Changing Mechanisms from Data. | Sarah Mameche, David Kaltenpoth, Jilles Vreeken |
| 2021 | AAAI | Discovering Fully Oriented Causal Networks. | Osman Mian, Alexander Marx, Jilles Vreeken |
| 2021 | ICML | What's in the Box? Exploring the Inner Life of Neural Networks with Robust Rules. | Jonas Fischer, Anna Olh, Jilles Vreeken |
| 2021 | KDD | Graph Similarity Description: How Are These Graphs Similar? | Corinna Coupette, Jilles Vreeken |
| 2021 | KDD | Differentiable Pattern Set Mining. | Jonas Fischer, Jilles Vreeken |
| 2021 | SDM | Discovering Reliable Causal Rules. | Kailash Budhathoki, Mario Boley, Jilles Vreeken |
| 2021 | SDM | SUSAN: The Structural Similarity Random Walk Kernel. | Janis Kalofolias, Pascal Welke, Jilles Vreeken |
| 2021 | SDM | Mining Easily Understandable Models from Complex Event Logs. | Boris Wiegand, Dietrich Klakow, Jilles Vreeken |
| 2020 | AAAI | Explainable Data Decompositions. | Sebastian Dalleiger, Jilles Vreeken |
| 2020 | ICDM | Just Wait For It... Mining Sequential Patterns with Reliable Prediction Delays. | Joscha Cppers, Jilles Vreeken |
| 2020 | ICDM | The Relaxed Maximum Entropy Distribution and its Application to Pattern Discovery. | Sebastian Dalleiger, Jilles Vreeken |
| 2020 | KDD | Discovering Succinct Pattern Sets Expressing Co-Occurrence and Mutual Exclusivity. | Jonas Fischer, Jilles Vreeken |
| 2020 | KDD | Discovering Functional Dependencies from Mixed-Type Data. | Panagiotis Mandros, David Kaltenpoth, Mario Boley, Jilles Vreeken |
| 2020 | KDD | Discovering Approximate Functional Dependencies using Smoothed Mutual Information. | Frdric Pennerath, Panagiotis Mandros, Jilles Vreeken |
| 2020 | NDSS | Towards Plausible Graph Anonymization. | Yang Zhang, Mathias Humbert, Bartlomiej Surma, Praveen Manoharan, Jilles Vreeken, Michael Backes |
| 2020 | WWW | What is Normal, What is Strange, and What is Missing in a Knowledge Graph: Unified Characterization via Inductive Summarization. | Caleb Belth, Xinyi Zheng, Jilles Vreeken, Danai Koutra |
| 2019 | AISTATS | Testing Conditional Independence on Discrete Data using Stochastic Complexity. | Alexander Marx, Jilles Vreeken |
| 2019 | ICDM | Discovering Robustly Connected Subgraphs with Simple Descriptions. | Janis Kalofolias, Mario Boley, Jilles Vreeken |
| 2019 | ICDM | Discovering Reliable Correlations in Categorical Data. | Panagiotis Mandros, Mario Boley, Jilles Vreeken |
| 2019 | IJCAI | Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms. | Panagiotis Mandros, Mario Boley, Jilles Vreeken |
| 2019 | KDD | Identifiability of Cause and Effect using Regularized Regression. | Alexander Marx, Jilles Vreeken |
| 2019 | KDD | Modern MDL meets Data Mining Insights, Theory, and Practice. | Jilles Vreeken, Kenji Yamanishi |
| 2019 | SDM | We Are Not Your Real Parents: Telling Causal from Confounded using MDL. | David Kaltenpoth, Jilles Vreeken |
| 2018 | ICDM | Accurate Causal Inference on Discrete Data. | Kailash Budhathoki, Jilles Vreeken |
| 2018 | ICDM | Summarizing Graphs at Multiple Scales: New Trends. | Danai Koutra, Jilles Vreeken, Francesco Bonchi |
| 2018 | ICDM | Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms. | Panagiotis Mandros, Mario Boley, Jilles Vreeken |
| 2018 | SDM | Causal Inference on Event Sequences. | Kailash Budhathoki, Jilles Vreeken |
| 2017 | ICDM | MDL for Causal Inference on Discrete Data. | Kailash Budhathoki, Jilles Vreeken |
| 2017 | ICDM | Efficiently Discovering Locally Exceptional Yet Globally Representative Subgroups. | Janis Kalofolias, Mario Boley, Jilles Vreeken |
| 2017 | ICDM | Telling Cause from Effect Using MDL-Based Local and Global Regression. | Alexander Marx, Jilles Vreeken |
| 2017 | KDD | Discovering Reliable Approximate Functional Dependencies. | Panagiotis Mandros, Mario Boley, Jilles Vreeken |
| 2017 | SDM | Efficiently Discovering Unexpected Pattern-Co-Occurrences. | Roel Bertens, Jilles Vreeken, Arno Siebes |
| 2017 | SDM | Efficiently Summarising Event Sequences with Rich Interleaving Patterns. | Apratim Bhattacharyya, Jilles Vreeken |
| 2017 | SDM | Correlation by Compression. | Kailash Budhathoki, Jilles Vreeken |
| 2017 | SDM | FACETS: Adaptive Local Exploration of Large Graphs. | Robert S. Pienta, Minsuk Kahng, Zhiyuan Lin, Jilles Vreeken, Partha P. Talukdar, James Abello, Ganesh Parameswaran, Duen Horng Chau |
| 2016 | ICDM | Causal Inference by Compression. | Kailash Budhathoki, Jilles Vreeken |
| 2016 | KDD | Keeping it Short and Simple: Summarising Complex Event Sequences with Multivariate Patterns. | Roel Bertens, Jilles Vreeken, Arno Siebes |
| 2016 | KDD | Reconstructing an Epidemic Over Time. | Polina Rozenshtein, Aristides Gionis, B. Aditya Prakash, Jilles Vreeken |
| 2016 | SDM | Universal Dependency Analysis. | Hoang Vu Nguyen, Panagiotis Mandros, Jilles Vreeken |
| 2016 | SDM | Flexibly Mining Better Subgroups. | Hoang Vu Nguyen, Jilles Vreeken |
| 2016 | SDM | Linear-time Detection of Non-linear Changes in Massively High Dimensional Time Series. | Hoang Vu Nguyen, Jilles Vreeken |
| 2015 | SDM | Getting to Know the Unknown Unknowns: Destructive-Noise Resistant Boolean Matrix Factorization. | Sanjar Karaev, Pauli Miettinen, Jilles Vreeken |
| 2015 | SDM | Hidden Hazards: Finding Missing Nodes in Large Graph Epidemics. | Shashidhar Sundareisan, Jilles Vreeken, B. Aditya Prakash |
| 2015 | SDM | Causal Inference by Direction of Information. | Jilles Vreeken |
| 2014 | CIKM | Narrow or Broad?: Estimating Subjective Specificity in Exploratory Search. | Kumaripaba Athukorala, Antti Oulasvirta, Dorota Glowacka, Jilles Vreeken, Giulio Jacucci |
| 2014 | CIKM | A Fresh Look on Knowledge Bases: Distilling Named Events from News. | Erdal Kuzey, Jilles Vreeken, Gerhard Weikum |
| 2014 | ICML | Multivariate Maximal Correlation Analysis. | Hoang Vu Nguyen, Emmanuel Mller, Jilles Vreeken, Pavel Efros, Klemens Bhm |
| 2014 | SDM | VOG: Summarizing and Understanding Large Graphs. | Danai Koutra, U Kang, Jilles Vreeken, Christos Faloutsos |
| 2013 | ICDM | Cartification: A Neighborhood Preserving Transformation for Mining High Dimensional Data. | Emin Aksehirli, Bart Goethals, Emmanuel Mller, Jilles Vreeken |
| 2013 | SDM | Mining Connection Pathways for Marked Nodes in Large Graphs. | Leman Akoglu, Duen Horng Chau, Christos Faloutsos, Nikolaj Tatti, Hanghang Tong, Jilles Vreeken |
| 2013 | SDM | CMI: An Information-Theoretic Contrast Measure for Enhancing Subspace Cluster and Outlier Detection. | Klemens Bhm, Fabian Keller, Emmanuel Mller, Hoang Vu Nguyen, Jilles Vreeken |
| 2012 | CIKM | Fast and reliable anomaly detection in categorical data. | Leman Akoglu, Hanghang Tong, Jilles Vreeken, Christos Faloutsos |
| 2012 | ICDM | Spotting Culprits in Epidemics: How Many and Which Ones? | B. Aditya Prakash, Jilles Vreeken, Christos Faloutsos |
| 2012 | KDD | TourViz: interactive visualization of connection pathways in large graphs. | Duen Horng Chau, Leman Akoglu, Jilles Vreeken, Hanghang Tong, Christos Faloutsos |
| 2012 | KDD | The long and the short of it: summarising event sequences with serial episodes. | Nikolaj Tatti, Jilles Vreeken |
| 2012 | SDM | Slim: Directly Mining Descriptive Patterns. | Koen Smets, Jilles Vreeken |
| 2011 | ICDM | Maximum Entropy Modelling for Assessing Results on Real-Valued Data. | Kleanthis-Nikolaos Kontonasios, Jilles Vreeken, Tijl De Bie |
| 2011 | KDD | MIME: a framework for interactive visual pattern mining. | Bart Goethals, Sandy Moens, Jilles Vreeken |
| 2011 | KDD | Tell me what i need to know: succinctly summarizing data with itemsets. | Michael Mampaey, Nikolaj Tatti, Jilles Vreeken |
| 2011 | KDD | Model order selection for boolean matrix factorization. | Pauli Miettinen, Jilles Vreeken |
| 2011 | SDM | The Odd One Out: Identifying and Characterising Anomalies. | Koen Smets, Jilles Vreeken |
| 2009 | SDM | Low-Entropy Set Selection. | Hannes Heikinheimo, Jilles Vreeken, Arno Siebes, Heikki Mannila |
| 2008 | ICDM | Finding Good Itemsets by Packing Data. | Nikolaj Tatti, Jilles Vreeken |
| 2008 | ICDM | Filling in the Blanks - Krimp Minimisation for Missing Data. | Jilles Vreeken, Arno Siebes |
| 2007 | ICDM | Preserving Privacy through Data Generation. | Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes |
| 2007 | KDD | Characterising the difference. | Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes |
| 2006 | SDM | Item Sets that Compress. | Arno Siebes, Jilles Vreeken, Matthijs van Leeuwen |